A reception device includes an equalization processing unit including a linear filter unit and a nonlinear filter unit and performing equalization process on a reception signal; a linear propagation channel estimation unit making propagation channel estimation using a known signal included in a reception signal to calculate a filter coefficient of the linear filter unit; and a synchronization processing unit performing synchronization process of correcting frequency deviation based on a signal output by the equalization processing unit, and when a predetermined condition is satisfied after executing first equalization process of outputting a reception signal filtered by the linear filter unit to the synchronization processing unit, the equalization processing unit starts second equalization process that is an adaptive equalization process of outputting a result of addition of a reception signal filtered by the linear filter unit and a reception signal filtered by the nonlinear filter unit to the synchronization processing unit.

A reception device includes an equalization processing unit including a linear filter unit and a nonlinear filter unit and performing equalization process on a reception signal; a linear propagation channel estimation unit making propagation channel estimation using a known signal included in a reception signal to calculate a filter coefficient of the linear filter unit; and a synchronization processing unit performing synchronization process of correcting frequency deviation based on a signal output by the equalization processing unit, and when a predetermined condition is satisfied after executing first equalization process of outputting a reception signal filtered by the linear filter unit to the synchronization processing unit, the equalization processing unit starts second equalization process that is an adaptive equalization process of outputting a result of addition of a reception signal filtered by the linear filter unit and a reception signal filtered by the nonlinear filter unit to the synchronization processing unit.

A signal receiving device and an equalizer tuning method thereof are provided. A first equalizer receives an input signal and generates a first equalized signal by compensating the input signal according to a first equalization parameter. A second equalizer generates a second equalized signal by compensating the first equalized signal according to a second equalization parameter. A clock and data recovery circuit recovers the second equalized signal to generate an output signal. An equalizing controller receives the input signal and outputs a first control signal and a second control signal, to adjust the first equalization parameter according to the first control signal and adjust the second equalization parameter according to the second control signal. The equalizing controller detects a first pattern symbol and a second pattern symbol from the output signal and tunes the second equalization parameter according to the number of the first pattern symbol and the second pattern symbol.

A signal receiving device and an equalizer tuning method thereof are provided. A first equalizer receives an input signal and generates a first equalized signal by compensating the input signal according to a first equalization parameter. A second equalizer generates a second equalized signal by compensating the first equalized signal according to a second equalization parameter. A clock and data recovery circuit recovers the second equalized signal to generate an output signal. An equalizing controller receives the input signal and outputs a first control signal and a second control signal, to adjust the first equalization parameter according to the first control signal and adjust the second equalization parameter according to the second control signal. The equalizing controller detects a first pattern symbol and a second pattern symbol from the output signal and tunes the second equalization parameter according to the number of the first pattern symbol and the second pattern symbol.

A method and system of equalizing in a decision feedback equalizer is provided. A plurality of adder circuits receives a digital code representing a previously decided symbol from an output of a prior path of a plurality of paths. A decision-making slicer circuit receives an input voltage and a first clock signal. The plurality of adder circuits receives a second clock signal and injects an offset current proportional to the digital code representing the previously decided symbol into a current injection input of the decision-making slicer circuit, at a first edge of the second clock signal. There is a predetermined skew between the first clock and the second clock to control a timing between the injection of the offset current of the plurality of adder circuits and the initiation of a decision-making phase of the decision-making slicer circuit.

A method includes receiving a signal at a receiver device via a channel from a transmitter device and determining a frequency domain representation of the signal. The signal includes multiple modulation symbols. The method further includes detecting a first symbol of the signal and determining a time domain representation of a distortion estimate associated with the first symbol using a distortion recovery receiver (DRR) technique. The method further includes subtracting the distortion estimate from the first symbol to generate an updated estimate of the first symbol. The method further includes determining a frequency domain representation of a second symbol using a value that is based on a frequency domain representation of the distortion estimate and that is further based on a frequency domain representation of a quantized version of the updated estimate of the first symbol.

A decoding method applied to a convolutionally coded signal is provided. The method includes: adjusting first input information according to a first scaling factor to generate first a-priori information; b) decoding the convolutionally coded signal according to systematic information and the first a-priori information to generate first extrinsic information; c) adjusting second input information according to a second scaling factor to generate second a-priori information, wherein the second scaling factor is generated according to the first extrinsic information and the first a-priori information; and d) decoding the convolutionally coded signal according to the systematic information and the second a-priori information to generate second extrinsic information. One of step (b) and step (d) further generates a-posteriori information as a decoding result.

A method of blind tap coefficient adaptation includes receiving a digital data signal including random digital data, equalizing a first portion of the digital data signal using a first set of predetermined tap coefficients and a second portion of the digital data signal using a second set of predetermined tap coefficients. The method includes generating a first eye diagram and a second eye diagram from a first portion and a second portion of an equalized signal, respectively. The first eye diagram is compared with the second eye diagram to determine which of the sets of predetermined tap coefficients results in a data signal having a higher signal quality. The method includes inputting to an equalizer as an initial set of tap coefficients the first set of predetermined tap coefficients or the second set of predetermined tap coefficients according to the determination.

A decoding method applied to a convolutionally coded signal is provided. The method includes: adjusting first input information according to a first scaling factor to generate first a-priori information; b) decoding the convolutionally coded signal according to systematic information and the first a-priori information to generate first extrinsic information; c) adjusting second input information according to a second scaling factor to generate second a-priori information, wherein the second scaling factor is generated according to the first extrinsic information and the first a-priori information; and d) decoding the convolutionally coded signal according to the systematic information and the second a-priori information to generate second extrinsic information. One of step (b) and step (d) further generates a-posteriori information as a decoding result.